DOI: 10.1016/j.atmosenv.2014.03.032
Scopus记录号: 2-s2.0-84897057744
论文题名: Proposal for estimating ground-level ozone concentrations at urban areas based on multivariate statistical methods
作者: Pavón-Domínguez P ; , Jiménez-Hornero F ; J ; , Gutiérrez de Ravé E
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 90 起始页码: 59
结束页码: 70
语种: 英语
英文关键词: Air pollution
; Estimation
; Multivariate analysis
; Ozone
; Urban areas
Scopus关键词: Air pollution
; Cluster analysis
; Estimation
; Hierarchical systems
; Linear regression
; Sun
; Environmental problems
; Hierarchical cluster analysis
; Meteorological variables
; Multi variate analysis
; Multiple linear regressions
; Multivariate statistical method
; Root mean squared errors
; Urban areas
; Ozone
; ozone
; anticyclone
; atmospheric pollution
; cluster analysis
; concentration (composition)
; estimation method
; industrial emission
; meteorology
; metropolitan area
; ozone
; pollution monitoring
; regression analysis
; solar radiation
; traffic emission
; typology
; urban area
; air pollution
; air quality
; article
; chemical industry
; cluster analysis
; ground level ozone
; heat
; human
; meteorological phenomena
; molecular weight
; multiple linear regression analysis
; ozone layer
; priority journal
; seasonal variation
; solar radiation
; statistical analysis
; summer
; traffic
; urban area
; Andalucia
; Sevilla
; Seville
; Spain
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: This study focuses on describing ozone patterns and estimating ozone concentrations in urban settings through the classification of an urban area into homogeneous typologies, according to hourly ozone concentrations, and the development of accurate estimation models for each typology. For these proposals, a hierarchical cluster analysis was conducted in order to define homogeneous subareas, and multiple linear regressions were subsequently applied with the aim of obtaining ozone predictions, employing chemical and meteorological variables as predictors. Seville metropolitan area (Spain) is a densely populated area of the Mediterranean Basin that exhibits environmental problems related to ozone pollution episodes. Ozone exceedances are a consequence of the combination of road traffic and industry emissions with hot temperatures and high solar radiation, mainly during anticyclonic events. Cluster analysis evince that this area can be divided into 3 categories according to hourly ozone concentration in summer. Cluster 1 is comprised of monitoring stations located in the outskirts of the city of Seville Cluster 2 corresponds to monitoring stations located within the city of Seville and Cluster 3 is comprised of a monitoring station specialized in traffic emissions. Multiple linear regression shows that the relative weight of meteorological variables decreases when moving from the urban periphery towards the urban center, whereas the weight of chemical variables increases. Coefficients of determination (R2) values were 0.885, 0.890 and 0.830 and root mean squared error (RMSE) were 11.226, 11.874 and 11.260μgm-3 for Cluster 1, 2 and 3, respectively. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80891
Appears in Collections: 气候变化事实与影响
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作者单位: Dept. of Graphic Engineering and Geomatics, University of Córdoba, Gregor Mendel Building (3rd Floor), Campus Rabanales, 14071 Córdoba, Spain
Recommended Citation:
Pavón-Domínguez P,, Jiménez-Hornero F,J,et al. Proposal for estimating ground-level ozone concentrations at urban areas based on multivariate statistical methods[J]. Atmospheric Environment,2014-01-01,90